한국정보처리학회:학술대회논문집 (Annual Conference of KIPS)

한국정보처리학회 (Korea Information Processing Society)
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무선센서네트워크에서 데이터 병합 트리를 위한 자기치유 방법

Self-healing Method for Data Aggregation Tree in Wireless Sensor Networks

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  • 염상길 (성균관대학교 정보통신대학) ;
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  • 추현승 (성균관대학교 정보통신대학)
  • Le, Duc Tai (College of Information and Communication Engineering, Sungkyunkwan University) ;
  • Duc, Thang Le (College of Information and Communication Engineering, Sungkyunkwan University) ;
  • Yeom, Sanggil (College of Information and Communication Engineering, Sungkyunkwan University) ;
  • Zalyubovskiy, Vyacheslav V. (College of Information and Communication Engineering, Sungkyunkwan University) ;
  • Choo, Hyunseung (College of Information and Communication Engineering, Sungkyunkwan University)
  • 발행 : 2015.04.22
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초록

Data aggregation is a fundamental problem in wireless sensor networks that has attracted great attention in recent years. On constructing a robust algorithm for minimizing data aggregation delay in wireless sensor networks, we consider limited transmission range sensors and approximate the minimum-delay data aggregation tree which can only be built in networks of unlimited transmission range sensors. The paper proposes an adaptive method that can be applied to maintain the network structure in case of a sensor node fails. The data aggregation tree built by the proposed scheme is therefore self-healing and robust. Intensive simulations are carried out and the results show that the scheme could adapt well to network topology changes compared with other approaches.

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